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Lookup NU author(s): Dr Domenico Balsamo
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2020.
For re-use rights please refer to the publisher's terms and conditions.
Transient computing enables application execution to be performed despite power outages. Although it handles the non-deterministic nature of energy harvesting (EH), sensor systems envisioned by the IoT seek more cost and volume-effective solutions, which are better tailored to application requirements. Additionally, a major drawback of transient computing, keeping track of time, hinders its widespread adoption in the IoT. To overcome these challenges, this paper proposes a control flow for sensor systems by combining two state-of-the-art transient computing schemes in an energy-aware manner, underpinned by a strategy for timekeeping. It enables application execution to be reliably performed even under the most severe EH conditions, with an improved cost and volume efficiency, i.e., smaller energy storage. Benefiting from the combination of the two schemes, dynamic adjustment of system performance is achieved, while the time is accurately tracked. To illustrate the applicability of this flow to actual sensor systems, two case studies: a bicycle trip computer and a step counter, are presented. Empirical results reveal that, even with a tiny amount of energy harvested ( ≃ tens of μJ), our proposed approach can meet application requirements with smaller storage, i.e., 40% and 66% reduction in required capacitance for the presented case studies.
Author(s): Balsamo D, Cetinkaya O, Arreola AR, Wong SCB, Merrett GV, Weddell AS
Publication type: Article
Publication status: Published
Journal: IEEE Sensors Journal
Year: 2020
Volume: 20
Issue: 18
Pages: 10687-10695
Print publication date: 15/09/2020
Online publication date: 07/05/2020
Acceptance date: 22/04/2020
Date deposited: 26/11/2020
ISSN (print): 1530-437X
ISSN (electronic): 1558-1748
Publisher: IEEE
URL: https://doi.org/10.1109/JSEN.2020.2993213
DOI: 10.1109/JSEN.2020.2993213
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